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All Journal TEKNIK INFORMATIKA Jurnal Simantec Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Sains Dan Teknologi (SAINTEKBU) JMPM: Jurnal Matematika dan Pendidikan Matematika Informatics for Educators and Professional : Journal of Informatics Techno Nusa Mandiri : Journal of Computing and Information Technology Justek : Jurnal Sains Dan Teknologi METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Saintek Lahan Kering Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Tekno Kompak Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar JSAI (Journal Scientific and Applied Informatics) bit-Tech Zonasi: Jurnal Sistem Informasi Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Range : Jurnal Pendidikan Matematika Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Restikom : Riset Teknik Informatika dan Komputer Yayasan Cita Cendikiawan Al Khwarizmi Media Jurnal Informatika Journal Of Information And Technology Unimor (JITU) Jurnal Sains Teknologi dan Sistem Informasi JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) MATH-EDU: Jurnal Ilmu Pendidikan Matematika Jurnal Sisfotek Global Joutica : Journal of Informatic Unisla Jurnal Informatika Teknologi dan Sains (Jinteks) Digital Transformation Technology (Digitech) Jurnal Krisnadana Smart Techno (Smart Technology, Informatic and Technopreneurship) Adopsi Teknologi dan Sistem Informasi SisInfo : Jurnal Sistem Informasi dan Informatika Prosiding Seminar Riset Mahasiswa Journal of Informatics and Computing Jurnal Krisnadana Jurnal Penelitian Sistem Informasi Jurnal Rekayasa Sistem Informasi dan Teknologi Journal Of Artificial Intelligence And Software Engineering In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism) Jurnal Sains Sistem Informasi Journal of Elektronik Sistem InformasI Journal of Mathematics Theory and Applications Jejak digital: Jurnal Ilmiah Multidisiplin Jurnal Informasi Ilmu Komputer (JIIK)
Yoseph Pius Kurniawan Kelen
Universitas Timor
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Decision support system for selecting the best pesticide to eradicate pests on bean plants applying the Multi Attribute Utility Theory (MAUT) Approach Ili Sama, Meliana; Kelen, Yoseph Pius Kurniawan; Gelu, Leonard Peter; S. Manek, Siprianus
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025 (Article in Progress)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.29954

Abstract

The selection of the right pesticide is very important in pest control efforts on bean plants to maximize yields and maintain crop quality. Often, farmers face a mismatch between expectations and reality related to the products they use. The market offers a wide range of pesticide products, each claiming to have certain advantages. Mismatches in pesticide selection can affect the yields obtained by farmers. This study aims to provide insight to farmers in choosing the best pesticide to control pests on bean plants. this study relies based on the Multi Attribute Utility Theory (MAUT) method as a means to weigh various options based on various aspects in a structured manner. to assess each criterion from various alternatives and provide a ranking of the best pesticide recommendations. The criteria considered include price, how it works, shelf life, number of pests, and its impact on bean plants. The application developed uses the PHP and MySQL programming languages. Based on the results of the study, the alternative pesticide Spinosad obtained the highest score of 0.85, making it the best recommendation.Keywords: Pesticide selection, Decision Support System (DSS), MAUT
Expert system diagnoses skin diseases using web-based Forward Chaining method Taena, Ignasia Wanty; kelen, Yoseph pius kurniawan; Ludji, Dian Grace
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025 (Article in Progress)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.29955

Abstract

The skin is an essential part of the human body that plays a role in protection, temperature regulation, and sensation. Maintaining skin health is crucial because skin infections can arise from bacteria, viruses, fungi, and parasites, and often spread through direct contact. Environmental factors, such as the availability of clean water, are among the main causes of skin diseases. Unfortunately, many people consider skin diseases to be trivial, whereas if left untreated, these conditions can become fatal. A lack of understanding and information often leads to delayed treatment.To address this issue, an expert system has been developed to enable early diagnosis of skin diseases. This system uses the forward chaining method, an approach that starts from initial facts and moves toward a conclusion through a structured series of questions. One of the advantages of this method is its ability to process limited data into useful and accurate information. The expert system is designed as a web-based application to ensure broader public access.The diseases that can be diagnosed include ringworm, tinea versicolor, scabies, chickenpox, boils, dermatitis, rhinitis, and urticaria. This system is expected to help the public in recognizing symptoms of skin diseases and provide early support before consulting a doctor. Based on previous research, the lack of disease and symptom data was a challenge. Therefore, this study added 15 types of skin diseases and 20 symptom data points.For future development or further research, it is recommended to expand the system with more types of diseases, different diagnostic methods, and additional features to improve accuracy and user-friendliness in diagnosing skin diseases. Test data from 30 users showed a 90% accuracy rate, indicating that the expert system successfully helps users and provides solutions.Keywords: Expert System, Forward Chaining, Skin Disease, Early Diagnosis dini, Web
Sistem pendukung keputusan pemilihan tanaman pangan berbasis web dengan Fuzzy Weighted Product Naisali, Aldegunda; Kelen, Yoseph Pius Kurniawan; Syarifuddin, Risald; Grace Ludji, Dian
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025 (Article in Progress)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.29958

Abstract

The selection of food crops in North Central Timor Regency is based on individual experience and unstructured and unsystematic information. This process is subjective, depending on the experience or habits of farmers without the support of objective data analysis. This makes decision-making in determining the type of food crop less precise, and can hinder agricultural productivity. This study aims to build a web-based decision support system (DSS) that helps select the most appropriate food crops based on various criteria and alternatives. The system is developed using the Fuzzy Multi Attribute Decision Making (FMADM) and Weighted Product (WP) methods that handle uncertainty in evaluation and weighting. Fuzzy is used to accommodate linguistic qualitative data such as “sufficient”, “good”, or “very good”, reflecting real conditions in the field. Meanwhile, the Weighted Product method calculates the final score of each crop alternative based on the attribute value and weight of each criterion. The criteria in this system include planting area, harvested area, productivity, production, soil type, and market demand. This study aims to develop a web-based decision support system that provides recommendations for selecting the best food crops. This system is designed with an easy-to-use interface, and can be accessed online by farmers, extension workers, and policy makers. In this system, a fuzzy and weighted product approach is used to manage uncertainty in the assessment and produce objective crop rankings. The implementation results show that lowland rice plants get the highest score, which is 0.232977225 compared to other alternatives. This value indicates the highest level of feasibility of all the alternative crops analyzed, so lowland rice is the most recommended choice. This system is able to provide fast, data-based recommendations.Keywords: Fuzzy, Decision Support System, Food Crops, Weighted product, Web
Web-based decision support system for boarding house selection according to preferences in Kefamenanu (BTN) area using Tsukamoto Fuzzy Logic Method Chandra, Rudy; Kelen, yoseph Pius Kurniawan; Manek, Patricia Gedrudis; Septian Manek, Siprianus
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025 (Article in Progress)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.29719

Abstract

The problem in searching for boarding houses in the Kefamenanu (BTN) area is the many choices with different variations in price, facilities, distance, and comfort levels, making it difficult for prospective residents to determine a boarding house that suits their personal preferences. This study aims to build a web-based decision-making system that can help users choose a boarding house according to their interests quickly and accurately. The method used is the Tsukamoto Fuzzy Logic method, which is able to accommodate uncertainty and subjectivity in the assessment process of boarding house selection criteria. The system is designed with several fuzzy variables such as price, distance, facilities, and comfort, which are processed through fuzzy rules in the form of IF-THEN to produce the best boarding house recommendations. The novelty of this study lies in the application of the Tsukamoto method in the context of selecting boarding houses in Kefamenanu, which has not previously been widely developed using a fuzzy logic approach. The contribution of this study is to produce a web-based platform that is able to accelerate the process of searching for boarding houses that suit user needs, while increasing accuracy and satisfaction in decision making. The results of the study showed that the system was able to recommend boarding house options with a level of user preference matching reaching 90%, based on the results of trials on 30 respondents in the BTN Kefamenanu area.Keywords: Web-Based Application, Fuzzy Logic, Tsukamoto Method, Boarding House Selection, Decision Support System
PENERAPAN ALGORITMA NAIVE BAYES UNTUK MEMPREDIKSI KEHADIRAN MASYARAKT DALAM PEMILIHAN KEPALA DAERAH STUDI KASUS DESA MATABESI Isto, Kristoforus Boik Tani'i; Kelen, Yoseph Pius Kurniawan; Tey Seran, Krisantus Jumarto
ZONAsi: Jurnal Sistem Informasi Vol. 7 No. 2 (2025): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode Mei 2025
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/nwpvxv71

Abstract

Partisipasi masyarakat dalam pemilihan kepala daerah (Pilkada) merupakan indikator penting dalam keberhasilan demokrasi lokal. Penelitian ini bertujuan untuk memprediksi tingkat kehadiran masyarakat dalam Pilkada dengan menggunakan algoritma Naive Bayes. Data yang digunakan berasal dari Desa Matabesi, Kecamatan Biboki Moenleu, Kabupaten Timor Tengah Utara, yang mencakup 316 data pemilih tetap dengan atribut seperti usia, jenis kelamin, lokasi tempat tinggal, aksesibilitas ke TPS, pendapatan bulanan, pendidikan, pekerjaan, dan kepedulian politik. Proses klasifikasi dilakukan dalam beberapa tahap: pengumpulan data, preprocessing, pemodelan, pengujian, dan evaluasi menggunakan RapidMiner. Model dibangun dengan membagi data menjadi 70% data pelatihan dan 30% data pengujian. Hasil evaluasi menunjukkan bahwa model memiliki tingkat akurasi, presisi, dan recall sebesar 100%, yang menandakan bahwa algoritma Naive Bayes mampu memprediksi kehadiran dengan sangat baik. Faktor-faktor seperti kedekatan dengan TPS dan kepedulian politik tinggi menjadi penentu utama kehadiran. Temuan ini memberikan implikasi positif dalam membantu penyelenggara pemilu untuk menyusun strategi peningkatan partisipasi pemilih berbasis data.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN MITRA JASA PENGIRIMAN BARANG PADA CABANG KEFAMENANU DENGAN METODE MULTI ATTRIBUTE UTILITY THEORY (MAUT) Tae, Margaretha; Kelen, Yoseph Pius Kurniawan; Bobu, Fetronela Rambu
Jurnal Simantec Vol 13, No 2 (2025): Jurnal Simantec Juni 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v13i2.29617

Abstract

Shipping is the process of transporting goods from producers to consumers. Most goods will be shipped through a cargo transportation network (physical goods) delivered by land, sea and air. The increasing number of internet users among the public encourages more people to ship goods online. The many choices of shipping services available often cause confusion and obstacles for the public in determining the best service according to their needs, both in terms of cost, delivery time, type of payment and shipping costs. To avoid existing problems, a decision support system is needed that can make it easier for the public to make the right decision in choosing a shipping service partner. The Decision Support System (DSS) for selecting a shipping service partner at the Kefamenanu branch aims to help the public make more precise and efficient decisions in choosing a shipping partner. The method used in this study is the Multi Attribute Utility Theory (MAUT), which allows comparison of various important criteria in selecting a delivery partner. The decision-making process is carried out by assessing each alternative delivery partner based on the weight of the previously determined criteria. Each partner is then given a score for each criterion, which is then calculated using the maut method to produce a final score with the highest score from each alternative. The results of this system are able to provide the best recommendations in selecting delivery services objectively. That way, the Kefamenanu community can make wiser decisions. The implementation of this SPK can improve operational efficiency and community satisfaction, as well as reduce errors in decision making. Thus, this system can help the community to improve the performance of goods delivery at the Kefamenanu branch.Keywords: Delivery of Goods, Decision Support System (DSS), Kefamenanu Community, Maut, Performance
SISTEM INFORMASI PEMETAAN JAMBAN TIDAK SEHAT DI KABUPATEN TIMOR TENGAH UTARA Lay Berek, Gloria Elisabeth; Kelen, Yoseph P. K.; Lestari, Anastasia K.D.
JRIS : Jurnal Rekayasa Informasi Swadharma Vol 5, No 2 (2025): JURNAL JRIS EDISI JULI 2025
Publisher : Institut Teknologi dan Bisnis (ITB) Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jris.vol5no2.896

Abstract

This research aims to design and build an Unhealthy Latrine Mapping Information System in North Central Timor Regency (TTU) to improve sanitation and public health. The main problems faced are the high use of unhealthy latrines, which has an impact on the spread of environmentally based diseases, as well as the difficulty of the Health Office in identifying the location and number of families using these unhealthy latrines. The developed information system is geographically based (GIS) and utilizes the waterfall method. This system facilitates data collection, mapping the location of unhealthy latrines, and online community reporting. The study's results show that the system is capable of providing accurate and easily accessible information about the distribution of unhealthy latrines, making it easier for the Health Office to distribute assistance and education to the community. Additionally, this system enhances community participation in reporting and addressing sanitation issues. Thus, the implementation of this information system is expected to support the realization of a healthier environment in the TTU Regency through more effective and efficient management of sanitation data.Penelitian ini bertujuan untuk membangun Sistem Informasi Pemetaan Jamban Tidak Sehat di Kabupaten Timor Tengah Utara (TTU) guna mendukung upaya peningkatan kesehatan masyarakat. Permasalahan utama yang dihadapi adalah  tingginya penggunaan jamban tidak sehat yang berdampak pada penyebaran penyakit berbasis lingkungan, serta kesulitan Dinas Kesehatan dalam mengidentifikasi lokasi dan jumlah kepala keluarga pengguna jamban tidak sehat. Sistem informasi yang dikembangkan berbasis geografis (SIG) dan menggunakan metode waterfall. Sistem ini memfasilitasi pendataan, pemetaan lokasi jamban tidak sehat, serta pelaporan masyarakat secara daring. Hasil penelitian menunjukkan bahwa sistem ini mampu memberikan informasi yang akurat dan mudah diakses mengenai distribusi jamban tidak sehat, sehingga memudahkan Dinas Kesehatan dalam penyaluran bantuan dan edukasi kepada masyarakat. Selain itu, sistem ini juga meningkatkan partisipasi masyarakat dalam pelaporan dan penanganan masalah sanitasi. Penerapan sistem informasi ini diharapkan dapat mendukung terwujudnya lingkungan yang lebih sehat di Kabupaten TTU melalui pengelolaan data sanitasi yang lebih efektif dan efisien
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN JENIS IKAN AIR TAWAR UNTUK BUDIDAYA DI KOLAM OELUAN MENGGUNAKAN METODE TOPSIS BERBASIS WEBSITE Bana, Yoseph Arianto; Kelen, Yoseph Pius Kurniawan; Tey Seran, Krisantus Jumarto
JRIS : Jurnal Rekayasa Informasi Swadharma Vol 5, No 2 (2025): JURNAL JRIS EDISI JULI 2025
Publisher : Institut Teknologi dan Bisnis (ITB) Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jris.vol5no2.890

Abstract

This study develops a website-based Decision Support System (DSS) for selecting the correct type of freshwater fish for cultivation in Oeluan Pond, North Central Timor Regency (TTU). This system uses the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method as a multi-criteria decision-making method, considering criteria such as pond type, soil type, pond area, location height, and water temperature. The purpose of this DSS is to assist pond managers in determining the type of freshwater fish that are economical and profitable to cultivate, as well as to support the development of fish farming in Oeluan Pond. This website-based system provides easy and flexible access anytime, anywhere, via an internet connection. The study's results are expected to enhance the effectiveness and efficiency of decision-making for freshwater fish cultivation in the area. This study also contributes to the application of information technology, especially in the field of decision support systems in the freshwater fisheries sector.Penelitian ini mengembangkan Sistem Pendukung Keputusan (SPK) berbasis website untuk pemilihan jenis ikan air tawar yang tepat untuk budidaya di Kolam Oeluan, Kabupaten Timor Tengah Utara (TTU). Sistem ini menggunakan metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) sebagai metode pengambilan keputusan multi kriteria, dengan mempertimbangkan kriteria seperti jenis kolam, jenis tanah, luas kolam, ketinggian lokasi, dan suhu air. Tujuan dari SPK ini adalah untuk membantu pengelola kolam dalam menentukan jenis ikan air tawar yang ekonomis dan menguntungkan untuk dibudidayakan, serta mendukung pengembangan budidaya ikan di Kolam Oeluan. Sistem berbasis website ini memungkinkan akses yang mudah dan fleksibel kapan saja dan di mana saja melalui koneksi internet. Hasil penelitian diharapkan dapat meningkatkan efektivitas dan efisiensi dalam pengambilan keputusan budidaya ikan air tawar di daerah tersebut. Penelitian ini juga memberikan kontribusi dalam penerapan teknologi informasi khususnya dalam bidang sistem pendukung keputusan pada sektor perikanan air tawar.war
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KONDISI TANAH TERBAIK UNTUK BUDIDAYA SAYUR SAWI DI DESA LAMUDUR MENGGUNAKAN METODE TOPSIS Nahak, Maria Selviyanti H; Kelen, Yoseph P.K; Tey Seran, Krisantus Jumarto
JRIS : Jurnal Rekayasa Informasi Swadharma Vol 5, No 2 (2025): JURNAL JRIS EDISI JULI 2025
Publisher : Institut Teknologi dan Bisnis (ITB) Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jris.vol5no2.889

Abstract

This study aims to develop a website-based decision support system (DSS) to determine the optimal soil conditions for cultivating mustard greens in Lamudur Village, Weliman District, Malaka Regency. The primary issue is the limited public awareness of the suitability of land for specific commodities, resulting in suboptimal land use. The system developed utilizes the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to process data on various soil criteria, including organic matter, soil minerals, water sources, soil slope, and previous crops. The TOPSIS method was chosen because it can provide the best solution by comparing alternative distances to positive and negative ideal solutions. The study's results show that this system can help farmers determine the most suitable soil conditions for cultivating mustard greens, improve the quality of agricultural products, and reduce the risk of crop failure. This system is also expected to serve as a reference for making informed agricultural decisions based on data and technology in rural areas.Penelitian ini bertujuan untuk mengembangkan sistem pendukung keputusan (SPK) berbasis website guna menentukan kondisi tanah terbaik untuk budidaya sayur sawi di Desa Lamudur, Kecamatan Weliman, Kabupaten Malaka. Permasalahan utama yang dihadapi adalah kurangnya pengetahuan masyarakat mengenai kesesuaian lahan untuk komoditas tertentu, sehingga sering terjadi pemanfaatan lahan yang kurang optimal. Sistem yang dikembangkan menggunakan metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk mengolah data berbagai kriteria tanah, seperti unsur organik, mineral tanah, sumber air, kemiringan tanah, dan tanaman sebelumnya. Metode TOPSIS dipilih karena mampu memberikan solusi terbaik dengan membandingkan jarak alternatif terhadap solusi ideal positif dan negatif. Hasil penelitian menunjukkan bahwa sistem ini dapat membantu petani dalam menentukan kondisi tanah yang paling sesuai untuk budidaya sayur sawi, meningkatkan kualitas hasil pertanian, serta mengurangi risiko kegagalan panen. Sistem ini juga diharapkan dapat menjadi referensi dalam pengambilan keputusan pertanian berbasis data dan teknologi di wilayah pedesaan.
RANCANG BANGUN SISTEM INFORMASI PENJUALAN DAN DESAIN SABLON PAKAIAN DISTRO BERBASIS WEBSITE MENGGUNAKAN METODE AGILE Lay, Febryona; Kelen, Yoseph Pius Kurniawan; Manek, Siprianus Septian
ZONAsi: Jurnal Sistem Informasi Vol. 7 No. 2 (2025): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode Mei 2025
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/2g4myq57

Abstract

Dunia teknologi saat ini berkembang sangat pesat di Indonesia secara signifikan. Kecepatan memperoleh informasi merupakan suatu bukti meningkatnya teknologi informasi saat ini. Teknologi informasi juga merupakan hal yang penting bagi suatu perusahaan ataupun instansi dalam mendukung proses bisnis, termasuk industri pakaian. Toko KSD Sablon saat ini masih melakukan penjualan dan pemesanan secara manual, yang dianggap kurang efektif dalam pengolahaan data serta pelaporan transaksi. Untuk meningkatkan efisiensi dan penghematan daya, diperlukan sistem informasi berbasis website yang dapat memfasilitasi proses penjualan, pemesanan, serta manajemen stok secara lebih terstruktur dan efisien. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi penjualan berbasis website di Toko KSD Sablon dengan menerapkan metode Agile. Sistem ini diharapkan dapat menjadi media promosi, meningkatkan pelayanan kepada pelanggan, serta membantu pemilik mengambil dalam memantau stok dan mendapatkan laporan penjualan secara real-time. Dengan adanya sistem berbasis website ini, diharapkan proses bisnis di Toko KSD Sablon dapat lebih optimal, efisien dan mampu bersaing di dunia digital.
Co-Authors Abi, Maria Oktavian ALBERTIANA FANU Alberto Fransisko M.L. Nahas Alfonsus Jefri Oematan Amaral, Krispina Madeira Amaral Amsikan, Dionisius K. Anastasia K. D Lestari Anastasia K.D. Lestari Anastasia Kadek Dety Lestari Anastasia Kadek Dety Lestari Anatasia Kadek Dety Lestari Ansedelita Bete Antonius Lake Anunut, Anna Asthy, Agustina Tamo Ina Bili Avin Nahak Bana, Yoseph Arianto Bano, Elinora N. Barreto, Julio Baso, Budiman Bere, Mery Ernawati Bernadeta Novia W. R. Mau Bone, Leonardus Bria, Laurensa L Chrisinta, Debora Claudensi Maria Muinnesu Cristin Tidja Y. Bas Darsono Nababan Deda, Yohanis Ndapa Dewi Kristiani Asuat Dian Grace Ludji Dionisius K. Amsikan Dionisius Oktavianus Klau Efren Primus Nahak Egas De Jesus Martins Corbafo Eko, Margaretha Amilia Miranti Eli , Maria Yuliana Elisabeth Glodia Isulti Usfinit Elsa M. Benolon Emanuel Yohanes Meol Eugenius Charles Odja Fabiana Kaunan Fallo, Kristoforus Fallo, Kritoforus Faustianus Luan Fetronela Rambu Bobu Firma Maria O Luan Florensia Seran Florida Telik Fouk, Fransiska Seuk Fransiskus Xaverio Tonbesi Gelu, Leonard Peter Gelu, Leonard Peter Gervaisus Kono Godeliva Dos Santos Pakaenoni Godifridus Metboki Grace Ludji, Dian Haryati Herewila, Nadia Esli Hevi Herlina Ullu Ili Sama, Meliana Isto, Kristoforus Boik Tani'i Jekrit Rinto Tefi Jeli, Jeli Maria Fatima Kolo Jeri Aurelianus Sede Kabut, Stefanus Kehik, Maria Cristalina M.D. Knaofmone, Maria Letitia Kolne, Maria Adventina Kolo, Klaudia Selina Kolo, Yesualda Rogeria Kresensia Nesi Krisantus J.Tey Seran Krispina Anin Kristoforus Fallo Lake, Delviana Lay Berek, Gloria Elisabeth Lay, Febryona Leonard P Gellu Leonard P. Gelu Leonard P. Gelu Leonard Peter Gellu Leonard Piter Gelu Lestari, Anastasia K D Lestari, Anastasia K.D Lestari, Anastasia K.D. Lestari, Anastasia Kadek Dety Lidia Lestari Kitu Manu Lidwina Sriwidya Lafu Liu, Yovita Liunokas, Ebenhaiser Lopo, Ani Luan, Faustianus Lusi Asameta Lusianus Bala Mada, Grandianus Seda Mammi Sarlota Bana Manek, Patricia Gedrudis Manek, Patricia Gertrudis Manek, Siprianus Manek, Siprianus S. Maneno, Regolinda Manhitu, Emerensiana Okan Margaretha Baria Maria Agusta Nining Fallo Maria Erlina Naben Maria Grasela Tatuin Maria Grestiana Sani Maria Ilona Silab Maria Imaculata Anu Turu Maria Krisanti Toinjaas Maria Lina Keban Maria Marli Natonis Maria Millenia Pina Lewuk Maria Nathania Bele Bau Maria Sisilia Luruk Nahak Maria Yuliana Eli Marina Dianti Kening Salu Marjeni Liana Nino Marni Coriani Bria Mau, Lidia Marselina Mayela Wete Melkianus Y.M. Ufa Mirja Hoar Moensaku, Emanuel Nababan, Darsono Nahak, Gilvino Nahak, Maria Selviyanti H Nahak, Roswita R.K. Naihely, Stefanus Apriyanto Naisali, Aldegunda Natalia Karmila Ketmoen Nenat, Agustinus Ardiyanto Nesi, Kresensia nggadas, carles Nikolas Abi Ninfa Neno Nule, Maria Graciana Yosri Nurliah Apryanti Oktavia Prima Bili Oktovianus Mamoh Oktovianus R. Sikas Omenu, Maria S.S Omenu, Yustina Maria Balok Painneon, Angela Hendrika Paskalis Mau Seran Patricia Gertrudis M anek Patricia Gertrudis Manek Pricilia D A Centhya Nahak Prima Mersi Angela Klaran Priska Maria Cicilia Amleni Reinhard Midian Duri Renaldi Y. Kolloh Risald Risald Syarifuddin Rizald Rojari, Fatima Romal Frengki Prima Manafe Roni Dedi Selan Rudy Chandra S Manek, Siprianus S. Manek, Siprianus S.Manek, Siprianus Selestina Nahak Seprianus Septian Manek Septian Manek, Siprianus Seran, Bruno Fransiskus seran, yuvenalis severinus ponis Sikas, Oktovianus R. Siprianus S Manek Siprianus S Manek Siprianus S. Manek Siprianus S. Manek Siprianus S.Manek Siprianus Septian Manek Stefania Y. Nule Stefanus Lau Manek Stefanus Manek Suni, Vebrianus Suni, Yohanes George Deridwan Susu, Yublina Rambuhana Sutal, Dominika Muti SYAHYADI, ASEP INDRA Syarifuddin, Risald Tae, Margaretha Taek, Sisilia Novita Aryenny Taena, Ignasia Wanty Tahun, Ardy Imanuel Taitoh, Rosalinda Hoar Tey Seran, Krisantus Jumarto Tey seran, Krisantus Junarto Thomas Nelson Kolo Ullu, Hevi Herlina Usfinit, Katarina D.M Usnaat, Sonya Oktavia Valerianus Naat Victoria Nova Naiheli Wilfrida Tnomel Willy Sucipto Willy Sucipto Willy Sucipto Yasinta O.L Rema Yasintha O.L Rema Yayu Ulfaningsi Subagio Yeni M Kabnani Yeni Yovita Seuk Yeremia, Elfira Yesualda Rogeria Kolo Yohana Niis Molo Yohanes D B Pay Yohanes D. B Pay Yudit Oviana Berek Yuliana A.T Naitkakin Yulsiani Sanam